*******************************************************************************
* > Loop over subgroups
*******************************************************************************

foreach subgroup in Democrat Republican {

*******************************************************************************
* >> Loop over datasets
*******************************************************************************

foreach dataset in gallup gss {

*******************************************************************************
* Load data
*******************************************************************************

use dataset_`dataset', clear
	
*******************************************************************************
* Use alt measure of party that includes leaners
*******************************************************************************

keep if regex(subg, "leaner") | subg == "All"
replace subg = subinstr(subg, " (with leaners)", "", 1)

*******************************************************************************
* Keep the subgroup
*******************************************************************************

keep if subgroup == "`subgroup'"

*******************************************************************************
* Label lines if it's the first plot
*******************************************************************************

local mylabel "Police"
if "`dataset'" == "gss" local mylabel "Law Enforcement"

local legend1 legend(off)
if "`subgroup'" == "All" {
	local legend1 legend(order(1 ///
		"{fontface monospace:{bf:`mylabel'}}" ///
		2 "{fontface monospace:Control Series}") ///
		symysize(0) symxsize(0) ring(0) pos(11) cols(1) ///
		region(lwid(none)) fcol(none))	
}

*******************************************************************************
* Set params based on data set
*******************************************************************************

if "`dataset'" == "gallup" {
	rename conf Y
	local mytitle2 "Confidence (Gallup)"
	local treated_target "police"
	local yaxis -.3(.2).5
	local xaxis 1990(8)2022
}
if "`dataset'" == "gss" {
	rename nat Y
	local mytitle2 "Spending (GSS)"
	local treated_target "crimy"
	local yaxis -.6(.2).6
	local xaxis 1982(8)2022	
}

*******************************************************************************
* Make lags
*******************************************************************************

su year
local mymin = r(min)

local lags
levelsof year if year < 2014, local(levels)
foreach i of local levels {
	egen Y`i'm = mean(Y) if year == `i', by(target)
	egen Y`i' = mean(Y`i'm), by(target)
	drop Y`i'm
	local lags `lags' Y`i'
}

*******************************************************************************
* Loop over placebo series 
*******************************************************************************

encode target, gen(id)
tsset id year
local i = 1
levelsof target, local(levels)
local nlevels = r(r)
foreach l of local levels {
	
	su id if target == "`l'"
	local treated = r(mean)

*******************************************************************************
* Do the synth
*******************************************************************************

	#delimit;

	synth 
		Y `lags',
			trunit(`treated')
			trperiod(2014)   
			keep(tmp_`i', replace)
			;

	#delimit cr
		
	preserve
		use tmp_`i', clear
		gen target = "`l'"
		save tmp_`i', replace
	restore

	local i = `i' + 1
		
}

*******************************************************************************
* Graph all placebo series
*******************************************************************************

use tmp_1, clear
erase tmp_1.dta
forvalues i = 2(1)`nlevels' {
	append using tmp_`i'
	erase tmp_`i'.dta
}

gen D = _Y_treat - _Y_syn
sort target _time
encode target, gen(targetid)

levelsof targetid, local(levels)
foreach l of local levels {
	local p (line D _time if targetid == `l', col(gray))
	local placebos `placebos' `p'
}

#delimit;

gr tw
	`placebos'
	(line D _time if target == "`treated_target'", col(black) lwid(thick))
	,
		`legend1'
		xline(2014, lpat(dash))
		yline(0, lpat(shortdash))
		name(g`dataset', replace)
		plotregion(style(none))
		ylab(`yaxis', angle(horiz))
		ytitle("")
		xtitle("")
		xlab(`xaxis')
		title("`mytitle2'")
		;

#delimit cr

gr_edit .legend.plotregion1.label[2].style.editstyle color(gray) editcopy

*******************************************************************************
* >> Close dataset loop
*******************************************************************************

}

*******************************************************************************
* Combine plots for each dataset
*******************************************************************************

local mytitle `subgroup'
if "`subgroup'" != "All" local mytitle = "`subgroup's" 

gr combine ggallup ggss, name(G`subgroup', replace) title(`mytitle')

*******************************************************************************
* > Close subgroup loop
*******************************************************************************

}

*******************************************************************************
* Combine plots for each subgroup
*******************************************************************************

gr combine GDemocrat GRepublican, rows(3) ysize(3) xsize(3) ///
	imargin(zero)

*******************************************************************************
* Save
*******************************************************************************

gr export "figure_leaners.pdf", replace

*******************************************************************************
* End
*******************************************************************************
